Codebook for EA Survey, 2018

#eval=params$runcodebooks

eas_18 %>%
    select_if(~sum(!is.na(.)) > 0) %>% #removes empty columns
codebook(eas_18, survey_repetition = "single", metadata_table = TRUE)

Metadata

Description

Dataset name: .

The dataset has N=2601 rows and 219 columns. 0 rows have no missing values on any column.

Metadata for search engines

• Date published: 2021-03-12

x heard_ea sincere is_ea1 is_ea2 first_heard_EA involved_tlycs involved_local_EA involved_university_EA involved_ace involved_ssc involved_online_ea involved_personal_contact involved_80K involved_GWWC involved_ea_global involved_book_blog involved_swiss involved_other which_year_EA member_ea_fb member_ea_forum member_lw member_tlycs member_local_group member_gwwc gwwc_year done_80K know_local_group want_local_group ea_volunteer ea_volunteer_hours ea_career_shifted_path ea_career_will_shift_path ea_career_type ea_welcoming cause_import_animal_welfare cause_import_cause_prioritization cause_import_biosecurity cause_import_climate_change cause_import_nuclear_security cause_import_ai cause_import_mental_health cause_import_poverty cause_import_rationality cause_import_meta cause_import_xrisk_other extra_cause currency_donate_1 currency_donate_2 income_2017_household income_2017_individual donate_2017 plan_donate_2018 gender race_white race_black race_hispanic race_native_american race_pacific_islander race_asian country veg religion politics relationship_status employed_full_time employed_part_time employed_self employed_looking employed_not_looking employed_homemaker employed_retired employed_student_part employed_student_full education studied_cs studied_econ studied_engineering studied_math studied_medicine studied_psych studied_phil studied_physics studied_humanities studied_social_science studied_other_science studied_vocational field referrer_self_report_ea_fb referrer_self_report_other_fb1 referrer_self_report_other_fb2 referrer_self_report_ea_newsletter referrer_self_report_ace referrer_self_report_gwwc referrer_self_report_friend referrer_self_report_lw referrer_self_report_local_group referrer_self_report_ssc took_last_year can_share_my_2017_donations can_share_my_lifetime_donations can_share_my_donation_plans can_share_cea_first_name no_share_with_cea_80k no_share_registry can_share_cea_last_name can_share_cea_email want_ea_newsletter can_share_profile can_share_profile_donations can_share_profile_donation_plans can_share_profile_location donate_RC_2017 donate_80K_2017 donate_cfar_2017 donate_miri_2017 donate_gf_2017 donate_ace_2017 donate_mfa_2017 donate_cea_2017 donate_dtw_2017 donate_gw_2017 donate_sci_2017 donate_gd_2017 donate_ef_2017 donate_amf_2017 donate_thl_2017 donate_lifetime how_feel_donate donation_kind_recurring donation_kind_eoy donation_on_demand cost_effectiveness_ratio ec_1 pd_1 pd_2 ec_2 pt_1 pd_3 pt_2 maximizing_1 maximizing_2 maximizing_3 maximizing_4 maximizing_7 search_1 search_2 search_7 search_8 search_9 nfc_1 nfc_3 nfc_4 big_five_extraverted_1 big_five_conscientious_1 big_five_open_1 big_five_agreeable_2 big_five_emotionally_stable_2 ea_id age currency donate_2017_c plan_donate_2018_c donate_RC_2017_c donate_80K_2017_c donate_cfar_2017_c donate_miri_2017_c donate_gf_2017_c donate_ace_2017_c donate_mfa_2017_c donate_cea_2017_c donate_dtw_2017_c donate_sci_2017_c donate_gd_2017_c donate_ef_2017_c donate_amf_2017_c donate_thl_2017_c donate_lifetime_c income_2017_household_c income_2017_individual_c p_donate_2017 cause_import_animal_welfare_b cause_import_cause_prioritization_b cause_import_biosecurity_b cause_import_climate_change_b cause_import_nuclear_security_b cause_import_ai_b cause_import_mental_health_b cause_import_poverty_b cause_import_rationality_b cause_import_meta_b cause_import_xrisk_other_b gender_b veg_b left donate_cause_meta_2017_c donate_cause_cause_pri_2017_c donate_cause_poverty_2017_c donate_cause_animal_welfare_2017_c donate_cause_far_future_2017_c student search_subscale maximizing_subscale maximizing_scale nfc_2_r nfc_scale big_five_extraverted_2_r big_five_extraverted_scale big_five_conscientious_2_r big_five_conscientious_scale big_five_agreeable_1_r big_five_agreeable_scale big_five_emotionally_stable_1_r big_five_emotionally_stable_scale big_five_open_2_r big_five_open_scale ec_scale pd_scale pt_scale

#Variables

heard_ea

Distribution

Distribution of values for heard_ea

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
heard_ea	character	4	1	2	0	2	3	0	NA

sincere

Distribution

Distribution of values for sincere

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
sincere	character	0	1	1	0	51	51	0	NA

is_ea1

Distribution

Distribution of values for is_ea1

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
is_ea1	character	0	1	1	0	3	3	0	NA

is_ea2

Distribution

Distribution of values for is_ea2

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
is_ea2	character	0	1	1	0	3	3	0	NA

first_heard_EA

Distribution

Distribution of values for first_heard_EA

8 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
first_heard_EA	character	8	1	18	0	8	51	0	NA

involved_tlycs

Distribution

Distribution of values for involved_tlycs

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_tlycs	logical	0	1	FAL: 2392, TRU: 209	0.08	NA

involved_local_EA

Distribution

Distribution of values for involved_local_EA

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_local_EA	logical	0	1	FAL: 2196, TRU: 405	0.16	NA

involved_university_EA

Distribution

Distribution of values for involved_university_EA

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_university_EA	logical	0	1	FAL: 2304, TRU: 297	0.11	NA

involved_ace

Distribution

Distribution of values for involved_ace

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_ace	logical	0	1	FAL: 2419, TRU: 182	0.07	NA

involved_ssc

Distribution

Distribution of values for involved_ssc

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_ssc	logical	0	1	FAL: 2154, TRU: 447	0.17	NA

involved_online_ea

Distribution

Distribution of values for involved_online_ea

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_online_ea	logical	0	1	FAL: 2035, TRU: 566	0.22	NA

involved_personal_contact

Distribution

Distribution of values for involved_personal_contact

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_personal_contact	logical	0	1	FAL: 1736, TRU: 865	0.33	NA

involved_80K

Distribution

Distribution of values for involved_80K

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_80K	logical	0	1	FAL: 1621, TRU: 980	0.38	NA

involved_GWWC

Distribution

Distribution of values for involved_GWWC

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_GWWC	logical	0	1	FAL: 1929, TRU: 672	0.26	NA

involved_ea_global

Distribution

Distribution of values for involved_ea_global

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_ea_global	logical	0	1	FAL: 2298, TRU: 303	0.12	NA

involved_book_blog

Distribution

Distribution of values for involved_book_blog

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_book_blog	logical	0	1	FAL: 1698, TRU: 903	0.35	NA

involved_swiss

Distribution

Distribution of values for involved_swiss

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_swiss	logical	0	1	FAL: 2535, TRU: 66	0.03	NA

involved_other

Distribution

Distribution of values for involved_other

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
involved_other	logical	0	1	FAL: 2258, TRU: 343	0.13	NA

which_year_EA

Distribution

Distribution of values for which_year_EA

9 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
which_year_EA	character	9	1	11	0	4	16	0	NA

member_ea_fb

Distribution

Distribution of values for member_ea_fb

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
member_ea_fb	logical	0	1	TRU: 1371, FAL: 1230	0.53	NA

member_ea_forum

Distribution

Distribution of values for member_ea_forum

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
member_ea_forum	logical	0	1	FAL: 2078, TRU: 523	0.2	NA

member_lw

Distribution

Distribution of values for member_lw

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
member_lw	logical	0	1	FAL: 2052, TRU: 549	0.21	NA

member_tlycs

Distribution

Distribution of values for member_tlycs

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
member_tlycs	logical	0	1	FAL: 2413, TRU: 188	0.07	NA

member_local_group

Distribution

Distribution of values for member_local_group

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
member_local_group	logical	0	1	FAL: 1583, TRU: 1018	0.39	NA

member_gwwc

Distribution

Distribution of values for member_gwwc

39 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
member_gwwc	logical	39	0.99	FAL: 1719, TRU: 843	0.33	NA

gwwc_year

Distribution

Distribution of values for gwwc_year

1801 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
gwwc_year	numeric	1801	0.31	2009	2016	2018	2016	1.8	▁▁▂▇▆	NA

done_80K

Distribution

Distribution of values for done_80K

12 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
done_80K	character	12	1	3	0	17	54	0	NA

know_local_group

Distribution

Distribution of values for know_local_group

19 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
know_local_group	character	19	0.99	2	0	34	48	0	NA

want_local_group

Distribution

Distribution of values for want_local_group

26 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
want_local_group	character	26	0.99	4	0	34	62	0	NA

ea_volunteer

Distribution

Distribution of values for ea_volunteer

43 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
ea_volunteer	character	43	0.98	2	0	27	50	0	NA

ea_volunteer_hours

Distribution

Distribution of values for ea_volunteer_hours

1790 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
ea_volunteer_hours	character	1790	0.31	159	0	1	281	0	NA

ea_career_shifted_path

Distribution

Distribution of values for ea_career_shifted_path

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
ea_career_shifted_path	logical	0	1	FAL: 1719, TRU: 882	0.34	NA

ea_career_will_shift_path

Distribution

Distribution of values for ea_career_will_shift_path

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
ea_career_will_shift_path	logical	0	1	FAL: 1621, TRU: 980	0.38	NA

ea_career_type

Distribution

Distribution of values for ea_career_type

38 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
ea_career_type	character	38	0.99	4	0	8	30	0	NA

ea_welcoming

Distribution

Distribution of values for ea_welcoming

17 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
ea_welcoming	character	17	0.99	6	0	9	33	0	NA

cause_import_animal_welfare

Distribution

Distribution of values for cause_import_animal_welfare

167 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_animal_welfare	character	167	0.94	6	0	25	74	0	NA

cause_import_cause_prioritization

Distribution

Distribution of values for cause_import_cause_prioritization

193 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_cause_prioritization	character	193	0.93	6	0	25	74	0	NA

cause_import_biosecurity

Distribution

Distribution of values for cause_import_biosecurity

166 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_biosecurity	character	166	0.94	6	0	25	74	0	NA

cause_import_climate_change

Distribution

Distribution of values for cause_import_climate_change

175 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_climate_change	character	175	0.93	6	0	25	74	0	NA

cause_import_nuclear_security

Distribution

Distribution of values for cause_import_nuclear_security

182 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_nuclear_security	character	182	0.93	6	0	25	74	0	NA

cause_import_ai

Distribution

Distribution of values for cause_import_ai

160 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_ai	character	160	0.94	6	0	25	74	0	NA

cause_import_mental_health

Distribution

Distribution of values for cause_import_mental_health

180 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_mental_health	character	180	0.93	6	0	25	74	0	NA

cause_import_poverty

Distribution

Distribution of values for cause_import_poverty

166 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_poverty	character	166	0.94	6	0	25	74	0	NA

cause_import_rationality

Distribution

Distribution of values for cause_import_rationality

164 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_rationality	character	164	0.94	6	0	25	74	0	NA

cause_import_meta

Distribution

Distribution of values for cause_import_meta

167 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_meta	character	167	0.94	6	0	25	74	0	NA

cause_import_xrisk_other

Distribution

Distribution of values for cause_import_xrisk_other

169 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_xrisk_other	character	169	0.94	6	0	25	74	0	NA

extra_cause

Distribution

Distribution of values for extra_cause

1880 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
extra_cause	character	1880	0.28	661	0	4	970	0	NA

currency_donate_1

Distribution

Distribution of values for currency_donate_1

245 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
currency_donate_1	character	245	0.91	11	0	10	27	0	NA

currency_donate_2

Distribution

Distribution of values for currency_donate_2

2387 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
currency_donate_2	character	2387	0.08	119	0	1	133	0	NA

income_2017_household

Distribution

Distribution of values for income_2017_household

654 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
income_2017_household	character	654	0.75	710	0	1	137	0	NA

income_2017_individual

Distribution

Distribution of values for income_2017_individual

594 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
income_2017_individual	character	594	0.77	733	0	1	137	0	NA

donate_2017

Distribution

Distribution of values for donate_2017

540 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_2017	character	540	0.79	544	0	1	260	0	NA

plan_donate_2018

Distribution

Distribution of values for plan_donate_2018

575 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
plan_donate_2018	character	575	0.78	509	0	1	828	0	NA

gender

Distribution

Distribution of values for gender

235 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
gender	character	235	0.91	4	0	4	20	0	NA

race_white

Distribution

Distribution of values for race_white

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
race_white	logical	0	1	TRU: 2036, FAL: 565	0.78	NA

race_black

Distribution

Distribution of values for race_black

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
race_black	logical	0	1	FAL: 2579, TRU: 22	0.01	NA

race_hispanic

Distribution

Distribution of values for race_hispanic

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
race_hispanic	logical	0	1	FAL: 2527, TRU: 74	0.03	NA

race_native_american

Distribution

Distribution of values for race_native_american

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
race_native_american	logical	0	1	FAL: 2592, TRU: 9	0	NA

race_pacific_islander

Distribution

Distribution of values for race_pacific_islander

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
race_pacific_islander	logical	0	1	FAL: 2593, TRU: 8	0	NA

race_asian

Distribution

Distribution of values for race_asian

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
race_asian	logical	0	1	FAL: 2411, TRU: 190	0.07	NA

country

Distribution

Distribution of values for country

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
country	character	0	1	9	0	5	52	0	NA

veg

Distribution

Distribution of values for veg

236 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
veg	character	236	0.91	6	0	5	44	0	NA

religion

Distribution

Distribution of values for religion

242 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
religion	character	242	0.91	8	0	5	35	0	NA

politics

Distribution

Distribution of values for politics

262 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
politics	character	262	0.9	8	0	4	20	0	NA

relationship_status

Distribution

Distribution of values for relationship_status

246 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
relationship_status	character	246	0.91	8	0	6	34	0	NA

employed_full_time

Distribution

Distribution of values for employed_full_time

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
employed_full_time	logical	0	1	FAL: 1481, TRU: 1120	0.43	NA

employed_part_time

Distribution

Distribution of values for employed_part_time

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
employed_part_time	logical	0	1	FAL: 2331, TRU: 270	0.1	NA

employed_self

Distribution

Distribution of values for employed_self

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
employed_self	logical	0	1	FAL: 2375, TRU: 226	0.09	NA

employed_looking

Distribution

Distribution of values for employed_looking

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
employed_looking	logical	0	1	FAL: 2469, TRU: 132	0.05	NA

employed_not_looking

Distribution

Distribution of values for employed_not_looking

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
employed_not_looking	logical	0	1	FAL: 2555, TRU: 46	0.02	NA

employed_homemaker

Distribution

Distribution of values for employed_homemaker

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
employed_homemaker	logical	0	1	FAL: 2573, TRU: 28	0.01	NA

employed_retired

Distribution

Distribution of values for employed_retired

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
employed_retired	logical	0	1	FAL: 2528, TRU: 73	0.03	NA

employed_student_part

Distribution

Distribution of values for employed_student_part

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
employed_student_part	logical	0	1	FAL: 2480, TRU: 121	0.05	NA

employed_student_full

Distribution

Distribution of values for employed_student_full

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
employed_student_full	logical	0	1	FAL: 1910, TRU: 691	0.27	NA

education

Distribution

Distribution of values for education

234 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
education	character	234	0.91	8	0	15	23	0	NA

studied_cs

Distribution

Distribution of values for studied_cs

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_cs	logical	0	1	FAL: 1987, TRU: 614	0.24	NA

studied_econ

Distribution

Distribution of values for studied_econ

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_econ	logical	0	1	FAL: 2256, TRU: 345	0.13	NA

studied_engineering

Distribution

Distribution of values for studied_engineering

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_engineering	logical	0	1	FAL: 2394, TRU: 207	0.08	NA

studied_math

Distribution

Distribution of values for studied_math

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_math	logical	0	1	FAL: 2191, TRU: 410	0.16	NA

studied_medicine

Distribution

Distribution of values for studied_medicine

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_medicine	logical	0	1	FAL: 2495, TRU: 106	0.04	NA

studied_psych

Distribution

Distribution of values for studied_psych

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_psych	logical	0	1	FAL: 2373, TRU: 228	0.09	NA

studied_phil

Distribution

Distribution of values for studied_phil

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_phil	logical	0	1	FAL: 2255, TRU: 346	0.13	NA

studied_physics

Distribution

Distribution of values for studied_physics

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_physics	logical	0	1	FAL: 2416, TRU: 185	0.07	NA

studied_humanities

Distribution

Distribution of values for studied_humanities

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_humanities	logical	0	1	FAL: 2331, TRU: 270	0.1	NA

studied_social_science

Distribution

Distribution of values for studied_social_science

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_social_science	logical	0	1	FAL: 2258, TRU: 343	0.13	NA

studied_other_science

Distribution

Distribution of values for studied_other_science

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_other_science	logical	0	1	FAL: 2351, TRU: 250	0.1	NA

studied_vocational

Distribution

Distribution of values for studied_vocational

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
studied_vocational	logical	0	1	FAL: 2494, TRU: 107	0.04	NA

field

Distribution

Distribution of values for field

562 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
field	character	562	0.78	21	0	9	54	0	NA

referrer_self_report_ea_fb

Distribution

Distribution of values for referrer_self_report_ea_fb

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
referrer_self_report_ea_fb	logical	0	1	FAL: 2171, TRU: 430	0.17	NA

referrer_self_report_other_fb1

Distribution

Distribution of values for referrer_self_report_other_fb1

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
referrer_self_report_other_fb1	logical	0	1	FAL: 2149, TRU: 452	0.17	NA

referrer_self_report_other_fb2

Distribution

Distribution of values for referrer_self_report_other_fb2

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
referrer_self_report_other_fb2	logical	0	1	FAL: 2384, TRU: 217	0.08	NA

referrer_self_report_ea_newsletter

Distribution

Distribution of values for referrer_self_report_ea_newsletter

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
referrer_self_report_ea_newsletter	logical	0	1	FAL: 1677, TRU: 924	0.36	NA

referrer_self_report_ace

Distribution

Distribution of values for referrer_self_report_ace

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
referrer_self_report_ace	logical	0	1	FAL: 2560, TRU: 41	0.02	NA

referrer_self_report_gwwc

Distribution

Distribution of values for referrer_self_report_gwwc

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
referrer_self_report_gwwc	logical	0	1	FAL: 2575, TRU: 26	0.01	NA

referrer_self_report_friend

Distribution

Distribution of values for referrer_self_report_friend

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
referrer_self_report_friend	logical	0	1	FAL: 2459, TRU: 142	0.05	NA

referrer_self_report_lw

Distribution

Distribution of values for referrer_self_report_lw

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
referrer_self_report_lw	logical	0	1	FAL: 2552, TRU: 49	0.02	NA

referrer_self_report_local_group

Distribution

Distribution of values for referrer_self_report_local_group

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
referrer_self_report_local_group	logical	0	1	FAL: 2486, TRU: 115	0.04	NA

referrer_self_report_ssc

Distribution

Distribution of values for referrer_self_report_ssc

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
referrer_self_report_ssc	logical	0	1	FAL: 2412, TRU: 189	0.07	NA

took_last_year

Distribution

Distribution of values for took_last_year

324 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
took_last_year	character	324	0.88	2	0	2	3	0	NA

can_share_my_2017_donations

Distribution

Distribution of values for can_share_my_2017_donations

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
can_share_my_2017_donations	logical	0	1	FAL: 1742, TRU: 859	0.33	NA

can_share_my_lifetime_donations

Distribution

Distribution of values for can_share_my_lifetime_donations

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
can_share_my_lifetime_donations	logical	0	1	FAL: 1958, TRU: 643	0.25	NA

can_share_my_donation_plans

Distribution

Distribution of values for can_share_my_donation_plans

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
can_share_my_donation_plans	logical	0	1	FAL: 1888, TRU: 713	0.27	NA

can_share_cea_first_name

Distribution

Distribution of values for can_share_cea_first_name

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
can_share_cea_first_name	logical	0	1	FAL: 1673, TRU: 928	0.36	NA

no_share_with_cea_80k

Distribution

Distribution of values for no_share_with_cea_80k

1800 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
no_share_with_cea_80k	character	1800	0.31	1	0	86	86	0	NA

no_share_registry

Distribution

Distribution of values for no_share_registry

1615 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
no_share_registry	character	1615	0.38	1	0	64	64	0	NA

can_share_cea_last_name

Distribution

Distribution of values for can_share_cea_last_name

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
can_share_cea_last_name	logical	0	1	FAL: 2601	0	NA

can_share_cea_email

Distribution

Distribution of values for can_share_cea_email

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
can_share_cea_email	logical	0	1	FAL: 1607, TRU: 994	0.38	NA

want_ea_newsletter

Distribution

Distribution of values for want_ea_newsletter

555 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
want_ea_newsletter	character	555	0.79	3	0	15	46	0	NA

can_share_profile

Distribution

Distribution of values for can_share_profile

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
can_share_profile	logical	0	1	TRU: 2055, FAL: 546	0.79	NA

can_share_profile_donations

Distribution

Distribution of values for can_share_profile_donations

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
can_share_profile_donations	logical	0	1	FAL: 2448, TRU: 153	0.06	NA

can_share_profile_donation_plans

Distribution

Distribution of values for can_share_profile_donation_plans

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
can_share_profile_donation_plans	logical	0	1	FAL: 2452, TRU: 149	0.06	NA

can_share_profile_location

Distribution

Distribution of values for can_share_profile_location

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
can_share_profile_location	logical	0	1	FAL: 2319, TRU: 282	0.11	NA

donate_RC_2017

Distribution

Distribution of values for donate_RC_2017

2481 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_RC_2017	character	2481	0.05	14	0	1	15	0	NA

donate_80K_2017

Distribution

Distribution of values for donate_80K_2017

2477 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_80K_2017	character	2477	0.05	17	0	1	12	0	NA

donate_cfar_2017

Distribution

Distribution of values for donate_cfar_2017

2481 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_cfar_2017	character	2481	0.05	12	0	1	9	0	NA

donate_miri_2017

Distribution

Distribution of values for donate_miri_2017

2419 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_miri_2017	character	2419	0.07	51	0	1	14	0	NA

donate_gf_2017

Distribution

Distribution of values for donate_gf_2017

2442 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_gf_2017	character	2442	0.06	43	0	1	9	0	NA

donate_ace_2017

Distribution

Distribution of values for donate_ace_2017

2439 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_ace_2017	character	2439	0.06	43	0	1	11	0	NA

donate_mfa_2017

Distribution

Distribution of values for donate_mfa_2017

2455 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_mfa_2017	character	2455	0.06	33	0	1	20	0	NA

donate_cea_2017

Distribution

Distribution of values for donate_cea_2017

2444 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_cea_2017	character	2444	0.06	47	0	1	138	0	NA

donate_dtw_2017

Distribution

Distribution of values for donate_dtw_2017

2447 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_dtw_2017	character	2447	0.06	45	0	1	17	0	NA

donate_gw_2017

Distribution

Distribution of values for donate_gw_2017

1662 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_gw_2017	character	1662	0.36	1	0	8	8	0	NA

donate_sci_2017

Distribution

Distribution of values for donate_sci_2017

2414 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_sci_2017	character	2414	0.07	59	0	1	16	0	NA

donate_gd_2017

Distribution

Distribution of values for donate_gd_2017

2349 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_gd_2017	character	2349	0.1	92	0	1	20	0	NA

donate_ef_2017

Distribution

Distribution of values for donate_ef_2017

2451 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_ef_2017	character	2451	0.06	41	0	1	19	0	NA

donate_amf_2017

Distribution

Distribution of values for donate_amf_2017

2206 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_amf_2017	character	2206	0.15	164	0	1	21	0	NA

donate_thl_2017

Distribution

Distribution of values for donate_thl_2017

2457 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_thl_2017	character	2457	0.06	40	0	1	11	0	NA

donate_lifetime

Distribution

Distribution of values for donate_lifetime

1812 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donate_lifetime	character	1812	0.3	376	0	1	219	0	NA

how_feel_donate

Distribution

Distribution of values for how_feel_donate

1299 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
how_feel_donate	character	1299	0.5	4	0	34	63	0	NA

donation_kind_recurring

Distribution

Distribution of values for donation_kind_recurring

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
donation_kind_recurring	logical	0	1	FAL: 2016, TRU: 585	0.22	NA

donation_kind_eoy

Distribution

Distribution of values for donation_kind_eoy

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
donation_kind_eoy	logical	0	1	FAL: 2194, TRU: 407	0.16	NA

donation_on_demand

Distribution

Distribution of values for donation_on_demand

2125 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
donation_on_demand	character	2125	0.18	1	0	29	29	0	NA

cost_effectiveness_ratio

Distribution

Distribution of values for cost_effectiveness_ratio

1462 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cost_effectiveness_ratio	character	1462	0.44	203	0	1	472	0	NA

ec_1

Distribution

Distribution of values for ec_1

1200 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
ec_1	numeric	1200	0.54	2	4	54	19	23	▇▁▁▁▃	NA

pd_1

Distribution

Distribution of values for pd_1

1226 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pd_1	numeric	1226	0.53	2	3	54	9.2	14	▇▂▁▁▁	NA

pd_2

Distribution

Distribution of values for pd_2

1213 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pd_2	numeric	1213	0.53	2	3	54	9.3	15	▇▂▁▁▁	NA

ec_2

Distribution

Distribution of values for ec_2

1212 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
ec_2	numeric	1212	0.53	2	4	54	14	20	▇▁▁▁▂	NA

pt_1

Distribution

Distribution of values for pt_1

1216 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pt_1	numeric	1216	0.53	2	4	54	14	21	▇▁▁▁▂	NA

pd_3

Distribution

Distribution of values for pd_3

1238 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pd_3	numeric	1238	0.52	2	3	54	7.8	8.7	▇▅▁▁▁	NA

pt_2

Distribution

Distribution of values for pt_2

1217 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pt_2	numeric	1217	0.53	2	4	54	13	20	▇▁▁▁▂	NA

maximizing_1

Distribution

Distribution of values for maximizing_1

1241 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
maximizing_1	character	1241	0.52	5	0	3	30	0	NA

maximizing_2

Distribution

Distribution of values for maximizing_2

1254 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
maximizing_2	character	1254	0.52	5	0	3	30	0	NA

maximizing_3

Distribution

Distribution of values for maximizing_3

1240 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
maximizing_3	character	1240	0.52	5	0	3	30	0	NA

maximizing_4

Distribution

Distribution of values for maximizing_4

1246 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
maximizing_4	character	1246	0.52	5	0	3	30	0	NA

maximizing_7

Distribution

Distribution of values for maximizing_7

1242 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
maximizing_7	character	1242	0.52	5	0	3	30	0	NA

search_1

Distribution

Distribution of values for search_1

1247 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
search_1	character	1247	0.52	5	0	3	30	0	NA

search_2

Distribution

Distribution of values for search_2

1243 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
search_2	character	1243	0.52	5	0	3	30	0	NA

search_7

Distribution

Distribution of values for search_7

1249 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
search_7	character	1249	0.52	5	0	3	30	0	NA

search_8

Distribution

Distribution of values for search_8

1244 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
search_8	character	1244	0.52	5	0	3	30	0	NA

search_9

Distribution

Distribution of values for search_9

1247 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
search_9	character	1247	0.52	5	0	3	30	0	NA

nfc_1

Distribution

Distribution of values for nfc_1

1249 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
nfc_1	character	1249	0.52	5	0	3	30	0	NA

nfc_3

Distribution

Distribution of values for nfc_3

1249 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
nfc_3	character	1249	0.52	5	0	3	30	0	NA

nfc_4

Distribution

Distribution of values for nfc_4

1250 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
nfc_4	character	1250	0.52	5	0	3	30	0	NA

big_five_extraverted_1

Distribution

Distribution of values for big_five_extraverted_1

1250 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
big_five_extraverted_1	character	1250	0.52	7	0	16	28	0	NA

big_five_conscientious_1

Distribution

Distribution of values for big_five_conscientious_1

1265 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
big_five_conscientious_1	character	1265	0.51	7	0	16	28	0	NA

big_five_open_1

Distribution

Distribution of values for big_five_open_1

1256 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
big_five_open_1	character	1256	0.52	7	0	16	28	0	NA

big_five_agreeable_2

Distribution

Distribution of values for big_five_agreeable_2

1266 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
big_five_agreeable_2	character	1266	0.51	7	0	16	28	0	NA

big_five_emotionally_stable_2

Distribution

Distribution of values for big_five_emotionally_stable_2

1257 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
big_five_emotionally_stable_2	character	1257	0.52	7	0	16	28	0	NA

ea_id

Distribution

Distribution of values for ea_id

1573 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
ea_id	character	1573	0.4	1026	0	32	32	0	NA

age

Distribution

Distribution of values for age

324 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
age	character	324	0.88	6	0	3	5	0	NA

currency

Distribution

Distribution of values for currency

310 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
currency	character	310	0.88	22	0	3	3	0	NA

donate_2017_c

Distribution

Distribution of values for donate_2017_c

710 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_2017_c	numeric	710	0.73	0	740	5100000	9761	137731	▇▁▁▁▁	NA

plan_donate_2018_c

Distribution

Distribution of values for plan_donate_2018_c

809 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
plan_donate_2018_c	numeric	809	0.69	0	1156	5e+06	11042	139864	▇▁▁▁▁	NA

donate_RC_2017_c

Distribution

Distribution of values for donate_RC_2017_c

2488 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_RC_2017_c	numeric	2488	0.04	0	0	50000	696	4882	▇▁▁▁▁	NA

donate_80K_2017_c

Distribution

Distribution of values for donate_80K_2017_c

2485 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_80K_2017_c	numeric	2485	0.04	0	0	150000	1356	13930	▇▁▁▁▁	NA

donate_cfar_2017_c

Distribution

Distribution of values for donate_cfar_2017_c

2487 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_cfar_2017_c	numeric	2487	0.04	0	0	35000	394	3292	▇▁▁▁▁	NA

donate_miri_2017_c

Distribution

Distribution of values for donate_miri_2017_c

2428 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_miri_2017_c	numeric	2428	0.07	0	0	85000	1740	8090	▇▁▁▁▁	NA

donate_gf_2017_c

Distribution

Distribution of values for donate_gf_2017_c

2449 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_gf_2017_c	numeric	2449	0.06	0	0	45000	808	4379	▇▁▁▁▁	NA

donate_ace_2017_c

Distribution

Distribution of values for donate_ace_2017_c

2449 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_ace_2017_c	numeric	2449	0.06	0	0	202000	1851	16457	▇▁▁▁▁	NA

donate_mfa_2017_c

Distribution

Distribution of values for donate_mfa_2017_c

2465 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_mfa_2017_c	numeric	2465	0.05	0	0	210000	1674	18004	▇▁▁▁▁	NA

donate_cea_2017_c

Distribution

Distribution of values for donate_cea_2017_c

2456 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_cea_2017_c	numeric	2456	0.06	0	0	4e+06	28786	332521	▇▁▁▁▁	NA

donate_dtw_2017_c

Distribution

Distribution of values for donate_dtw_2017_c

2459 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_dtw_2017_c	numeric	2459	0.05	0	0	35000	611	3146	▇▁▁▁▁	NA

donate_sci_2017_c

Distribution

Distribution of values for donate_sci_2017_c

2431 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_sci_2017_c	numeric	2431	0.07	0	0	300000	2371	23001	▇▁▁▁▁	NA

donate_gd_2017_c

Distribution

Distribution of values for donate_gd_2017_c

2369 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_gd_2017_c	numeric	2369	0.09	0	100	500000	5511	38879	▇▁▁▁▁	NA

donate_ef_2017_c

Distribution

Distribution of values for donate_ef_2017_c

2460 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_ef_2017_c	numeric	2460	0.05	0	0	100000	1556	9561	▇▁▁▁▁	NA

donate_amf_2017_c

Distribution

Distribution of values for donate_amf_2017_c

2240 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_amf_2017_c	numeric	2240	0.14	0	390	200000	2906	11538	▇▁▁▁▁	NA

donate_thl_2017_c

Distribution

Distribution of values for donate_thl_2017_c

2465 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_thl_2017_c	numeric	2465	0.05	0	0	528000	4606	45322	▇▁▁▁▁	NA

donate_lifetime_c

Distribution

Distribution of values for donate_lifetime_c

1918 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_lifetime_c	numeric	1918	0.26	0	4625	1e+07	51584	455847	▇▁▁▁▁	NA

income_2017_household_c

Distribution

Distribution of values for income_2017_household_c

864 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
income_2017_household_c	numeric	864	0.67	0	50000	9e+07	151277	2206509	▇▁▁▁▁	NA

income_2017_individual_c

Distribution

Distribution of values for income_2017_individual_c

764 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
income_2017_individual_c	numeric	764	0.71	0	31207	9e+07	114373	2130926	▇▁▁▁▁	NA

p_donate_2017

Distribution

Distribution of values for p_donate_2017

922 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
p_donate_2017	numeric	922	0.65	0	0.04	200	0.75	7.2	▇▁▁▁▁	NA

cause_import_animal_welfare_b

Distribution

Distribution of values for cause_import_animal_welfare_b

167 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_animal_welfare_b	character	167	0.94	6	0	25	74	0	NA

cause_import_cause_prioritization_b

Distribution

Distribution of values for cause_import_cause_prioritization_b

193 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_cause_prioritization_b	character	193	0.93	6	0	25	74	0	NA

cause_import_biosecurity_b

Distribution

Distribution of values for cause_import_biosecurity_b

166 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_biosecurity_b	character	166	0.94	6	0	25	74	0	NA

cause_import_climate_change_b

Distribution

Distribution of values for cause_import_climate_change_b

175 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_climate_change_b	character	175	0.93	6	0	25	74	0	NA

cause_import_nuclear_security_b

Distribution

Distribution of values for cause_import_nuclear_security_b

182 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_nuclear_security_b	character	182	0.93	6	0	25	74	0	NA

cause_import_ai_b

Distribution

Distribution of values for cause_import_ai_b

160 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_ai_b	character	160	0.94	6	0	25	74	0	NA

cause_import_mental_health_b

Distribution

Distribution of values for cause_import_mental_health_b

180 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_mental_health_b	character	180	0.93	6	0	25	74	0	NA

cause_import_poverty_b

Distribution

Distribution of values for cause_import_poverty_b

166 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_poverty_b	character	166	0.94	6	0	25	74	0	NA

cause_import_rationality_b

Distribution

Distribution of values for cause_import_rationality_b

164 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_rationality_b	character	164	0.94	6	0	25	74	0	NA

cause_import_meta_b

Distribution

Distribution of values for cause_import_meta_b

167 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_meta_b	character	167	0.94	6	0	25	74	0	NA

cause_import_xrisk_other_b

Distribution

Distribution of values for cause_import_xrisk_other_b

169 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
cause_import_xrisk_other_b	character	169	0.94	6	0	25	74	0	NA

gender_b

Distribution

Distribution of values for gender_b

327 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
gender_b	character	327	0.87	2	0	4	6	0	NA

veg_b

Distribution

Distribution of values for veg_b

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
veg_b	logical	0	1	FAL: 1599, TRU: 1002	0.39	NA

left

Distribution

Distribution of values for left

428 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
left	character	428	0.84	5	0	4	20	0	NA

donate_cause_meta_2017_c

Distribution

Distribution of values for donate_cause_meta_2017_c

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_cause_meta_2017_c	numeric	0	1	0	0	4e+06	1797	78761	▇▁▁▁▁	NA

donate_cause_cause_pri_2017_c

Distribution

Distribution of values for donate_cause_cause_pri_2017_c

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_cause_cause_pri_2017_c	numeric	0	1	0	0	202000	108	3990	▇▁▁▁▁	NA

donate_cause_poverty_2017_c

Distribution

Distribution of values for donate_cause_poverty_2017_c

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_cause_poverty_2017_c	numeric	0	1	0	0	700000	1083	17752	▇▁▁▁▁	NA

donate_cause_animal_welfare_2017_c

Distribution

Distribution of values for donate_cause_animal_welfare_2017_c

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_cause_animal_welfare_2017_c	numeric	0	1	0	0	738000	376	14535	▇▁▁▁▁	NA

donate_cause_far_future_2017_c

Distribution

Distribution of values for donate_cause_far_future_2017_c

2428 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
donate_cause_far_future_2017_c	numeric	2428	0.07	0	0	85000	1740	8090	▇▁▁▁▁	NA

student

Distribution

Distribution of values for student

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
student	logical	0	1	FAL: 1792, TRU: 809	0.31	NA

search_subscale

Distribution

Distribution of values for search_subscale

1255 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
search_subscale	numeric	1255	0.52	5	16	25	16	4.5	▂▅▇▇▃	NA

maximizing_subscale

Distribution

Distribution of values for maximizing_subscale

1265 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
maximizing_subscale	numeric	1265	0.51	5	18	25	17	3.7	▁▂▇▇▂	NA

maximizing_scale

Distribution

Distribution of values for maximizing_scale

1287 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
maximizing_scale	numeric	1287	0.51	12	34	50	34	6.6	▁▃▇▇▂	NA

nfc_2_r

Distribution

Distribution of values for nfc_2_r

1245 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
nfc_2_r	numeric	1245	0.52	1	5	5	4.5	0.82	▁▁▁▃▇	NA

nfc_scale

Distribution

Distribution of values for nfc_scale

1260 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
nfc_scale	numeric	1260	0.52	4	18	20	17	2.4	▁▁▁▃▇	NA

big_five_extraverted_2_r

Distribution

Distribution of values for big_five_extraverted_2_r

1256 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
big_five_extraverted_2_r	numeric	1256	0.52	1	3	7	3.5	1.8	▇▆▃▃▅	NA

big_five_extraverted_scale

Distribution

Distribution of values for big_five_extraverted_scale

1258 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
big_five_extraverted_scale	numeric	1258	0.52	2	7	14	7.5	3.3	▆▆▇▃▅	NA

big_five_conscientious_2_r

Distribution

Distribution of values for big_five_conscientious_2_r

1259 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
big_five_conscientious_2_r	numeric	1259	0.52	1	5	7	4.8	1.7	▂▃▂▃▇	NA

big_five_conscientious_scale

Distribution

Distribution of values for big_five_conscientious_scale

1270 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
big_five_conscientious_scale	numeric	1270	0.51	2	10	14	10	2.9	▁▂▆▆▇	NA

big_five_agreeable_1_r

Distribution

Distribution of values for big_five_agreeable_1_r

1255 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
big_five_agreeable_1_r	numeric	1255	0.52	1	4	7	4.1	1.8	▆▆▃▃▇	NA

big_five_agreeable_scale

Distribution

Distribution of values for big_five_agreeable_scale

1269 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
big_five_agreeable_scale	numeric	1269	0.51	2	9	14	9.1	2.6	▁▂▇▅▅	NA

big_five_emotionally_stable_1_r

Distribution

Distribution of values for big_five_emotionally_stable_1_r

1258 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
big_five_emotionally_stable_1_r	numeric	1258	0.52	1	5	7	4.6	1.8	▃▃▂▃▇	NA

big_five_emotionally_stable_scale

Distribution

Distribution of values for big_five_emotionally_stable_scale

1262 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
big_five_emotionally_stable_scale	numeric	1262	0.51	2	10	14	9.8	3.1	▂▂▆▅▇	NA

big_five_open_2_r

Distribution

Distribution of values for big_five_open_2_r

1259 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
big_five_open_2_r	numeric	1259	0.52	1	6	7	5.2	1.5	▁▂▂▃▇	NA

big_five_open_scale

Distribution

Distribution of values for big_five_open_scale

1261 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
big_five_open_scale	numeric	1261	0.52	2	11	14	11	2.3	▁▁▃▅▇	NA

ec_scale

Distribution

Distribution of values for ec_scale

1214 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
ec_scale	numeric	1214	0.53	4	8	108	32	35	▇▁▃▁▂	NA

pd_scale

Distribution

Distribution of values for pd_scale

1250 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pd_scale	numeric	1250	0.52	6	18	162	26	26	▇▂▁▁▁	NA

pt_scale

Distribution

Distribution of values for pt_scale

1225 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pt_scale	numeric	1225	0.53	4	8	108	28	35	▇▁▂▁▂	NA

Missingness report

description	heard_ea	first_heard_EA	which_year_EA	done_80K	ea_welcoming	know_local_group	want_local_group	ea_career_type	member_gwwc	ea_volunteer	cause_import_ai	cause_import_ai_b	cause_import_rationality	cause_import_rationality_b	cause_import_biosecurity	cause_import_poverty	cause_import_biosecurity_b	cause_import_poverty_b	cause_import_animal_welfare	cause_import_meta	cause_import_animal_welfare_b	cause_import_meta_b	cause_import_xrisk_other	cause_import_xrisk_other_b	cause_import_climate_change	cause_import_climate_change_b	cause_import_mental_health	cause_import_mental_health_b	cause_import_nuclear_security	cause_import_nuclear_security_b	cause_import_cause_prioritization	cause_import_cause_prioritization_b	education	gender	veg	religion	currency_donate_1	relationship_status	politics	currency	took_last_year	age	gender_b	left	donate_2017	want_ea_newsletter	field	plan_donate_2018	income_2017_individual	income_2017_household	donate_2017_c	income_2017_individual_c	plan_donate_2018_c	income_2017_household_c	p_donate_2017	ec_1	ec_2	pd_2	ec_scale	pt_1	pt_2	pt_scale	pd_1	pd_3	maximizing_3	maximizing_1	maximizing_7	search_2	search_8	nfc_2_r	maximizing_4	search_1	search_9	search_7	nfc_1	nfc_3	nfc_4	big_five_extraverted_1	pd_scale	maximizing_2	search_subscale	big_five_agreeable_1_r	big_five_open_1	big_five_extraverted_2_r	big_five_emotionally_stable_2	big_five_extraverted_scale	big_five_emotionally_stable_1_r	big_five_conscientious_2_r	big_five_open_2_r	nfc_scale	big_five_open_scale	big_five_emotionally_stable_scale	big_five_conscientious_1	maximizing_subscale	big_five_agreeable_2	big_five_agreeable_scale	big_five_conscientious_scale	maximizing_scale	how_feel_donate	cost_effectiveness_ratio	ea_id	no_share_registry	donate_gw_2017	ea_volunteer_hours	no_share_with_cea_80k	gwwc_year	donate_lifetime	extra_cause	donate_lifetime_c	donation_on_demand	donate_amf_2017	donate_amf_2017_c	donate_gd_2017	donate_gd_2017_c	currency_donate_2	donate_sci_2017	donate_miri_2017	donate_miri_2017_c	donate_cause_far_future_2017_c	donate_sci_2017_c	donate_ace_2017	donate_gf_2017	donate_cea_2017	donate_dtw_2017	donate_gf_2017_c	donate_ace_2017_c	donate_ef_2017	donate_mfa_2017	donate_cea_2017_c	donate_thl_2017	donate_dtw_2017_c	donate_ef_2017_c	donate_mfa_2017_c	donate_thl_2017_c	donate_80K_2017	donate_RC_2017	donate_cfar_2017	donate_80K_2017_c	donate_cfar_2017_c	donate_RC_2017_c	var_miss	n_miss
Missing values per variable	4	8	9	12	17	19	26	38	39	43	160	160	164	164	166	166	166	166	167	167	167	167	169	169	175	175	180	180	182	182	193	193	234	235	236	242	245	246	262	310	324	324	327	428	540	555	562	575	594	654	710	764	809	864	922	1.2e+03	1.21e+03	1.21e+03	1.21e+03	1.22e+03	1.22e+03	1.22e+03	1.23e+03	1.24e+03	1.24e+03	1.24e+03	1.24e+03	1.24e+03	1.24e+03	1.24e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.27e+03	1.27e+03	1.27e+03	1.29e+03	1.3e+03	1.46e+03	1.57e+03	1.62e+03	1.66e+03	1.79e+03	1.8e+03	1.8e+03	1.81e+03	1.88e+03	1.92e+03	2.12e+03	2.21e+03	2.24e+03	2.35e+03	2.37e+03	2.39e+03	2.41e+03	2.42e+03	2.43e+03	2.43e+03	2.43e+03	2.44e+03	2.44e+03	2.44e+03	2.45e+03	2.45e+03	2.45e+03	2.45e+03	2.46e+03	2.46e+03	2.46e+03	2.46e+03	2.46e+03	2.46e+03	2.46e+03	2.48e+03	2.48e+03	2.48e+03	2.48e+03	2.49e+03	2.49e+03	1.62e+05	1.62e+05
Missing values in 130 variables	1	1	1	1	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	130	47
2074 other, less frequent patterns	2.07e+03	2.07e+03	2.07e+03	2.06e+03	2.06e+03	2.06e+03	2.05e+03	2.04e+03	2.04e+03	2.03e+03	2.01e+03	2.01e+03	2.00e+03	2.00e+03	2e+03	2e+03	2e+03	2e+03	2e+03	2e+03	2e+03	2e+03	2e+03	2e+03	1.99e+03	1.99e+03	1.99e+03	1.99e+03	1.99e+03	1.99e+03	1.98e+03	1.98e+03	2.01e+03	2.01e+03	2.00e+03	2e+03	2e+03	2e+03	1.98e+03	1.93e+03	1.92e+03	1.92e+03	1.92e+03	1.81e+03	1.72e+03	1.73e+03	1.69e+03	1.69e+03	1.67e+03	1.61e+03	1.56e+03	1.5e+03	1.46e+03	1.4e+03	1.35e+03	1.31e+03	1.3e+03	1.3e+03	1.3e+03	1.3e+03	1.3e+03	1.29e+03	1.29e+03	1.27e+03	1.27e+03	1.27e+03	1.27e+03	1.27e+03	1.27e+03	1.27e+03	1.27e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.26e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.25e+03	1.24e+03	1.24e+03	1.22e+03	1.21e+03	1.06e+03	894	829	738	706	665	677	734	651	629	451	376	342	244	224	208	182	177	168	168	165	157	154	152	149	147	147	145	141	140	139	137	136	131	131	119	115	115	111	109	108	1.16e+05	2.55e+03

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{
  "name": ".",
  "datePublished": "2021-03-12",
  "description": "The dataset has N=2601 rows and 219 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "keywords": ["heard_ea", "sincere", "is_ea1", "is_ea2", "first_heard_EA", "involved_tlycs", "involved_local_EA", "involved_university_EA", "involved_ace", "involved_ssc", "involved_online_ea", "involved_personal_contact", "involved_80K", "involved_GWWC", "involved_ea_global", "involved_book_blog", "involved_swiss", "involved_other", "which_year_EA", "member_ea_fb", "member_ea_forum", "member_lw", "member_tlycs", "member_local_group", "member_gwwc", "gwwc_year", "done_80K", "know_local_group", "want_local_group", "ea_volunteer", "ea_volunteer_hours", "ea_career_shifted_path", "ea_career_will_shift_path", "ea_career_type", "ea_welcoming", "cause_import_animal_welfare", "cause_import_cause_prioritization", "cause_import_biosecurity", "cause_import_climate_change", "cause_import_nuclear_security", "cause_import_ai", "cause_import_mental_health", "cause_import_poverty", "cause_import_rationality", "cause_import_meta", "cause_import_xrisk_other", "extra_cause", "currency_donate_1", "currency_donate_2", "income_2017_household", "income_2017_individual", "donate_2017", "plan_donate_2018", "gender", "race_white", "race_black", "race_hispanic", "race_native_american", "race_pacific_islander", "race_asian", "country", "veg", "religion", "politics", "relationship_status", "employed_full_time", "employed_part_time", "employed_self", "employed_looking", "employed_not_looking", "employed_homemaker", "employed_retired", "employed_student_part", "employed_student_full", "education", "studied_cs", "studied_econ", "studied_engineering", "studied_math", "studied_medicine", "studied_psych", "studied_phil", "studied_physics", "studied_humanities", "studied_social_science", "studied_other_science", "studied_vocational", "field", "referrer_self_report_ea_fb", "referrer_self_report_other_fb1", "referrer_self_report_other_fb2", "referrer_self_report_ea_newsletter", "referrer_self_report_ace", "referrer_self_report_gwwc", "referrer_self_report_friend", "referrer_self_report_lw", "referrer_self_report_local_group", "referrer_self_report_ssc", "took_last_year", "can_share_my_2017_donations", "can_share_my_lifetime_donations", "can_share_my_donation_plans", "can_share_cea_first_name", "no_share_with_cea_80k", "no_share_registry", "can_share_cea_last_name", "can_share_cea_email", "want_ea_newsletter", "can_share_profile", "can_share_profile_donations", "can_share_profile_donation_plans", "can_share_profile_location", "donate_RC_2017", "donate_80K_2017", "donate_cfar_2017", "donate_miri_2017", "donate_gf_2017", "donate_ace_2017", "donate_mfa_2017", "donate_cea_2017", "donate_dtw_2017", "donate_gw_2017", "donate_sci_2017", "donate_gd_2017", "donate_ef_2017", "donate_amf_2017", "donate_thl_2017", "donate_lifetime", "how_feel_donate", "donation_kind_recurring", "donation_kind_eoy", "donation_on_demand", "cost_effectiveness_ratio", "ec_1", "pd_1", "pd_2", "ec_2", "pt_1", "pd_3", "pt_2", "maximizing_1", "maximizing_2", "maximizing_3", "maximizing_4", "maximizing_7", "search_1", "search_2", "search_7", "search_8", "search_9", "nfc_1", "nfc_3", "nfc_4", "big_five_extraverted_1", "big_five_conscientious_1", "big_five_open_1", "big_five_agreeable_2", "big_five_emotionally_stable_2", "ea_id", "age", "currency", "donate_2017_c", "plan_donate_2018_c", "donate_RC_2017_c", "donate_80K_2017_c", "donate_cfar_2017_c", "donate_miri_2017_c", "donate_gf_2017_c", "donate_ace_2017_c", "donate_mfa_2017_c", "donate_cea_2017_c", "donate_dtw_2017_c", "donate_sci_2017_c", "donate_gd_2017_c", "donate_ef_2017_c", "donate_amf_2017_c", "donate_thl_2017_c", "donate_lifetime_c", "income_2017_household_c", "income_2017_individual_c", "p_donate_2017", "cause_import_animal_welfare_b", "cause_import_cause_prioritization_b", "cause_import_biosecurity_b", "cause_import_climate_change_b", "cause_import_nuclear_security_b", "cause_import_ai_b", "cause_import_mental_health_b", "cause_import_poverty_b", "cause_import_rationality_b", "cause_import_meta_b", "cause_import_xrisk_other_b", "gender_b", "veg_b", "left", "donate_cause_meta_2017_c", "donate_cause_cause_pri_2017_c", "donate_cause_poverty_2017_c", "donate_cause_animal_welfare_2017_c", "donate_cause_far_future_2017_c", "student", "search_subscale", "maximizing_subscale", "maximizing_scale", "nfc_2_r", "nfc_scale", "big_five_extraverted_2_r", "big_five_extraverted_scale", "big_five_conscientious_2_r", "big_five_conscientious_scale", "big_five_agreeable_1_r", "big_five_agreeable_scale", "big_five_emotionally_stable_1_r", "big_five_emotionally_stable_scale", "big_five_open_2_r", "big_five_open_scale", "ec_scale", "pd_scale", "pt_scale"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "heard_ea",
      "@type": "propertyValue"
    },
    {
      "name": "sincere",
      "@type": "propertyValue"
    },
    {
      "name": "is_ea1",
      "@type": "propertyValue"
    },
    {
      "name": "is_ea2",
      "@type": "propertyValue"
    },
    {
      "name": "first_heard_EA",
      "@type": "propertyValue"
    },
    {
      "name": "involved_tlycs",
      "@type": "propertyValue"
    },
    {
      "name": "involved_local_EA",
      "@type": "propertyValue"
    },
    {
      "name": "involved_university_EA",
      "@type": "propertyValue"
    },
    {
      "name": "involved_ace",
      "@type": "propertyValue"
    },
    {
      "name": "involved_ssc",
      "@type": "propertyValue"
    },
    {
      "name": "involved_online_ea",
      "@type": "propertyValue"
    },
    {
      "name": "involved_personal_contact",
      "@type": "propertyValue"
    },
    {
      "name": "involved_80K",
      "@type": "propertyValue"
    },
    {
      "name": "involved_GWWC",
      "@type": "propertyValue"
    },
    {
      "name": "involved_ea_global",
      "@type": "propertyValue"
    },
    {
      "name": "involved_book_blog",
      "@type": "propertyValue"
    },
    {
      "name": "involved_swiss",
      "@type": "propertyValue"
    },
    {
      "name": "involved_other",
      "@type": "propertyValue"
    },
    {
      "name": "which_year_EA",
      "@type": "propertyValue"
    },
    {
      "name": "member_ea_fb",
      "@type": "propertyValue"
    },
    {
      "name": "member_ea_forum",
      "@type": "propertyValue"
    },
    {
      "name": "member_lw",
      "@type": "propertyValue"
    },
    {
      "name": "member_tlycs",
      "@type": "propertyValue"
    },
    {
      "name": "member_local_group",
      "@type": "propertyValue"
    },
    {
      "name": "member_gwwc",
      "@type": "propertyValue"
    },
    {
      "name": "gwwc_year",
      "@type": "propertyValue"
    },
    {
      "name": "done_80K",
      "@type": "propertyValue"
    },
    {
      "name": "know_local_group",
      "@type": "propertyValue"
    },
    {
      "name": "want_local_group",
      "@type": "propertyValue"
    },
    {
      "name": "ea_volunteer",
      "@type": "propertyValue"
    },
    {
      "name": "ea_volunteer_hours",
      "@type": "propertyValue"
    },
    {
      "name": "ea_career_shifted_path",
      "@type": "propertyValue"
    },
    {
      "name": "ea_career_will_shift_path",
      "@type": "propertyValue"
    },
    {
      "name": "ea_career_type",
      "@type": "propertyValue"
    },
    {
      "name": "ea_welcoming",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_animal_welfare",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_cause_prioritization",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_biosecurity",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_climate_change",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_nuclear_security",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_ai",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_mental_health",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_poverty",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_rationality",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_meta",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_xrisk_other",
      "@type": "propertyValue"
    },
    {
      "name": "extra_cause",
      "@type": "propertyValue"
    },
    {
      "name": "currency_donate_1",
      "@type": "propertyValue"
    },
    {
      "name": "currency_donate_2",
      "@type": "propertyValue"
    },
    {
      "name": "income_2017_household",
      "@type": "propertyValue"
    },
    {
      "name": "income_2017_individual",
      "@type": "propertyValue"
    },
    {
      "name": "donate_2017",
      "@type": "propertyValue"
    },
    {
      "name": "plan_donate_2018",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "@type": "propertyValue"
    },
    {
      "name": "race_white",
      "@type": "propertyValue"
    },
    {
      "name": "race_black",
      "@type": "propertyValue"
    },
    {
      "name": "race_hispanic",
      "@type": "propertyValue"
    },
    {
      "name": "race_native_american",
      "@type": "propertyValue"
    },
    {
      "name": "race_pacific_islander",
      "@type": "propertyValue"
    },
    {
      "name": "race_asian",
      "@type": "propertyValue"
    },
    {
      "name": "country",
      "@type": "propertyValue"
    },
    {
      "name": "veg",
      "@type": "propertyValue"
    },
    {
      "name": "religion",
      "@type": "propertyValue"
    },
    {
      "name": "politics",
      "@type": "propertyValue"
    },
    {
      "name": "relationship_status",
      "@type": "propertyValue"
    },
    {
      "name": "employed_full_time",
      "@type": "propertyValue"
    },
    {
      "name": "employed_part_time",
      "@type": "propertyValue"
    },
    {
      "name": "employed_self",
      "@type": "propertyValue"
    },
    {
      "name": "employed_looking",
      "@type": "propertyValue"
    },
    {
      "name": "employed_not_looking",
      "@type": "propertyValue"
    },
    {
      "name": "employed_homemaker",
      "@type": "propertyValue"
    },
    {
      "name": "employed_retired",
      "@type": "propertyValue"
    },
    {
      "name": "employed_student_part",
      "@type": "propertyValue"
    },
    {
      "name": "employed_student_full",
      "@type": "propertyValue"
    },
    {
      "name": "education",
      "@type": "propertyValue"
    },
    {
      "name": "studied_cs",
      "@type": "propertyValue"
    },
    {
      "name": "studied_econ",
      "@type": "propertyValue"
    },
    {
      "name": "studied_engineering",
      "@type": "propertyValue"
    },
    {
      "name": "studied_math",
      "@type": "propertyValue"
    },
    {
      "name": "studied_medicine",
      "@type": "propertyValue"
    },
    {
      "name": "studied_psych",
      "@type": "propertyValue"
    },
    {
      "name": "studied_phil",
      "@type": "propertyValue"
    },
    {
      "name": "studied_physics",
      "@type": "propertyValue"
    },
    {
      "name": "studied_humanities",
      "@type": "propertyValue"
    },
    {
      "name": "studied_social_science",
      "@type": "propertyValue"
    },
    {
      "name": "studied_other_science",
      "@type": "propertyValue"
    },
    {
      "name": "studied_vocational",
      "@type": "propertyValue"
    },
    {
      "name": "field",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_ea_fb",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_other_fb1",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_other_fb2",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_ea_newsletter",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_ace",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_gwwc",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_friend",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_lw",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_local_group",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_self_report_ssc",
      "@type": "propertyValue"
    },
    {
      "name": "took_last_year",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_my_2017_donations",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_my_lifetime_donations",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_my_donation_plans",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_cea_first_name",
      "@type": "propertyValue"
    },
    {
      "name": "no_share_with_cea_80k",
      "@type": "propertyValue"
    },
    {
      "name": "no_share_registry",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_cea_last_name",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_cea_email",
      "@type": "propertyValue"
    },
    {
      "name": "want_ea_newsletter",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_profile",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_profile_donations",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_profile_donation_plans",
      "@type": "propertyValue"
    },
    {
      "name": "can_share_profile_location",
      "@type": "propertyValue"
    },
    {
      "name": "donate_RC_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_80K_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cfar_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_miri_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gf_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_ace_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_mfa_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cea_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_dtw_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gw_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_sci_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gd_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_ef_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_amf_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_thl_2017",
      "@type": "propertyValue"
    },
    {
      "name": "donate_lifetime",
      "@type": "propertyValue"
    },
    {
      "name": "how_feel_donate",
      "@type": "propertyValue"
    },
    {
      "name": "donation_kind_recurring",
      "@type": "propertyValue"
    },
    {
      "name": "donation_kind_eoy",
      "@type": "propertyValue"
    },
    {
      "name": "donation_on_demand",
      "@type": "propertyValue"
    },
    {
      "name": "cost_effectiveness_ratio",
      "@type": "propertyValue"
    },
    {
      "name": "ec_1",
      "@type": "propertyValue"
    },
    {
      "name": "pd_1",
      "@type": "propertyValue"
    },
    {
      "name": "pd_2",
      "@type": "propertyValue"
    },
    {
      "name": "ec_2",
      "@type": "propertyValue"
    },
    {
      "name": "pt_1",
      "@type": "propertyValue"
    },
    {
      "name": "pd_3",
      "@type": "propertyValue"
    },
    {
      "name": "pt_2",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_1",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_2",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_3",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_4",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_7",
      "@type": "propertyValue"
    },
    {
      "name": "search_1",
      "@type": "propertyValue"
    },
    {
      "name": "search_2",
      "@type": "propertyValue"
    },
    {
      "name": "search_7",
      "@type": "propertyValue"
    },
    {
      "name": "search_8",
      "@type": "propertyValue"
    },
    {
      "name": "search_9",
      "@type": "propertyValue"
    },
    {
      "name": "nfc_1",
      "@type": "propertyValue"
    },
    {
      "name": "nfc_3",
      "@type": "propertyValue"
    },
    {
      "name": "nfc_4",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_extraverted_1",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_conscientious_1",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_open_1",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_agreeable_2",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_emotionally_stable_2",
      "@type": "propertyValue"
    },
    {
      "name": "ea_id",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "@type": "propertyValue"
    },
    {
      "name": "currency",
      "@type": "propertyValue"
    },
    {
      "name": "donate_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "plan_donate_2018_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_RC_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_80K_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cfar_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_miri_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gf_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_ace_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_mfa_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cea_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_dtw_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_sci_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gd_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_ef_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_amf_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_thl_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_lifetime_c",
      "@type": "propertyValue"
    },
    {
      "name": "income_2017_household_c",
      "@type": "propertyValue"
    },
    {
      "name": "income_2017_individual_c",
      "@type": "propertyValue"
    },
    {
      "name": "p_donate_2017",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_animal_welfare_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_cause_prioritization_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_biosecurity_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_climate_change_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_nuclear_security_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_ai_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_mental_health_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_poverty_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_rationality_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_meta_b",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_xrisk_other_b",
      "@type": "propertyValue"
    },
    {
      "name": "gender_b",
      "@type": "propertyValue"
    },
    {
      "name": "veg_b",
      "@type": "propertyValue"
    },
    {
      "name": "left",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cause_meta_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cause_cause_pri_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cause_poverty_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cause_animal_welfare_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cause_far_future_2017_c",
      "@type": "propertyValue"
    },
    {
      "name": "student",
      "@type": "propertyValue"
    },
    {
      "name": "search_subscale",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_subscale",
      "@type": "propertyValue"
    },
    {
      "name": "maximizing_scale",
      "@type": "propertyValue"
    },
    {
      "name": "nfc_2_r",
      "@type": "propertyValue"
    },
    {
      "name": "nfc_scale",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_extraverted_2_r",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_extraverted_scale",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_conscientious_2_r",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_conscientious_scale",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_agreeable_1_r",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_agreeable_scale",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_emotionally_stable_1_r",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_emotionally_stable_scale",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_open_2_r",
      "@type": "propertyValue"
    },
    {
      "name": "big_five_open_scale",
      "@type": "propertyValue"
    },
    {
      "name": "ec_scale",
      "@type": "propertyValue"
    },
    {
      "name": "pd_scale",
      "@type": "propertyValue"
    },
    {
      "name": "pt_scale",
      "@type": "propertyValue"
    }
  ]
}`